@inproceedings{8c3418ba6a0f49218c0d0d7af0201f21,
title = "Emotion map: A location-based mobile social system for improving emotion awareness and regulation",
abstract = "Effective emotion regulation can benefit many aspects of our lives such as mental health and work performance. Informed by emotion regulation theories and in consultation with our university counseling center, we designed a novel locationbased mobile social app, Emotion Map, to help improve people's awareness and regulations of their emotions. The app allows users to log their emotions with the associated time, location, and activity information. Users can keep these logged emotions to themselves or share them with others publicly or anonymously. We conducted a 4-week field trial of the app with 14 university students. Combining usage logs and inperson interviews, our analysis shows promising results of the app. Specifically, we found that the app improved some participants' self-knowledge of their emotions, supported their various emotion regulations, and enabled better awareness of the emotion statuses of their friends and communities.",
keywords = "Emotion Regulation, Emotion Sharing, Location Awareness., Mobile Applications",
author = "Yun Huang and Ying Tang and Yang Wang",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 ; Conference date: 14-03-2015 Through 18-03-2015",
year = "2015",
month = feb,
day = "28",
doi = "10.1145/2675133.2675173",
language = "English (US)",
series = "CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing",
publisher = "Association for Computing Machinery",
pages = "130--142",
booktitle = "CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing",
address = "United States",
}